File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: Aberrant brain structural–functional connectivity coupling in euthymic bipolar disorder

TitleAberrant brain structural–functional connectivity coupling in euthymic bipolar disorder
Authors
Keywordsbipolar disorder
modularity
predictive analysis
rich club
structural–functional coupling
Issue Date2019
PublisherJohn Wiley & Sons, Inc. The Journal's web site is located at http://www3.interscience.wiley.com/cgi-bin/jhome/38751
Citation
Human Brain Mapping, 2019, v. 40 n. 12, p. 3452-3463 How to Cite?
AbstractAberrant structural (diffusion tensor imaging [DTI]) and resting‐state functional magnetic resonance imagining connectivity are core features of bipolar disorder. However, few studies have explored the integrity agreement between structural and functional connectivity (SC–FC) in bipolar disorder. We examine SC connectivity coupling index whether could potentially provide additional clinical predictive value for bipolar disorder spectrum disorders besides the intramodality network measures. By examining the structural (DTI) and resting‐state functional network properties, as well as their coupling index, among 57 euthymic bipolar disorder patients (age 13–28 years, 18 females) and 42 age‐ and gender‐matched healthy controls (age 13–28 years, 16 females), we found that compared to controls, bipolar disorder patients showed increased structural rich‐club connectivity as well as decreased functional modularity. Importantly, the coupling strength between structural and functional connectome was decreased in patients compared to controls, which emerged as the most powerful feature discriminating the two groups. Our findings suggest that structural–functional coupling strength could serve as a valuable biological trait‐like feature for bipolar disorder over and above the intramodality network measures. Such measure can have important clinical implications for early identification of bipolar disorder individuals, and inform strategies for prevention of bipolar disorder onset and relapse.
DescriptionLink to Free access
Persistent Identifierhttp://hdl.handle.net/10722/281686
ISSN
2021 Impact Factor: 5.399
2020 SCImago Journal Rankings: 2.005
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorZHANG, R-
dc.contributor.authorShao, R-
dc.contributor.authorXu, G-
dc.contributor.authorLu, W-
dc.contributor.authorZheng, W-
dc.contributor.authorMiao, Q-
dc.contributor.authorChen, K-
dc.contributor.authorGao, Y-
dc.contributor.authorBi, Y-
dc.contributor.authorGuan, L-
dc.contributor.authorMclntyre, RS-
dc.contributor.authorDeng, Y-
dc.contributor.authorHuang, X-
dc.contributor.authorSo, K-F-
dc.contributor.authorLin, K-
dc.date.accessioned2020-03-22T04:18:18Z-
dc.date.available2020-03-22T04:18:18Z-
dc.date.issued2019-
dc.identifier.citationHuman Brain Mapping, 2019, v. 40 n. 12, p. 3452-3463-
dc.identifier.issn1065-9471-
dc.identifier.urihttp://hdl.handle.net/10722/281686-
dc.descriptionLink to Free access-
dc.description.abstractAberrant structural (diffusion tensor imaging [DTI]) and resting‐state functional magnetic resonance imagining connectivity are core features of bipolar disorder. However, few studies have explored the integrity agreement between structural and functional connectivity (SC–FC) in bipolar disorder. We examine SC connectivity coupling index whether could potentially provide additional clinical predictive value for bipolar disorder spectrum disorders besides the intramodality network measures. By examining the structural (DTI) and resting‐state functional network properties, as well as their coupling index, among 57 euthymic bipolar disorder patients (age 13–28 years, 18 females) and 42 age‐ and gender‐matched healthy controls (age 13–28 years, 16 females), we found that compared to controls, bipolar disorder patients showed increased structural rich‐club connectivity as well as decreased functional modularity. Importantly, the coupling strength between structural and functional connectome was decreased in patients compared to controls, which emerged as the most powerful feature discriminating the two groups. Our findings suggest that structural–functional coupling strength could serve as a valuable biological trait‐like feature for bipolar disorder over and above the intramodality network measures. Such measure can have important clinical implications for early identification of bipolar disorder individuals, and inform strategies for prevention of bipolar disorder onset and relapse.-
dc.languageeng-
dc.publisherJohn Wiley & Sons, Inc. The Journal's web site is located at http://www3.interscience.wiley.com/cgi-bin/jhome/38751-
dc.relation.ispartofHuman Brain Mapping-
dc.rightsPreprint This is the pre-peer reviewed version of the following article: [FULL CITE], which has been published in final form at [Link to final article using the DOI]. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions. Postprint This is the peer reviewed version of the following article: [FULL CITE], which has been published in final form at [Link to final article using the DOI]. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions.-
dc.subjectbipolar disorder-
dc.subjectmodularity-
dc.subjectpredictive analysis-
dc.subjectrich club-
dc.subjectstructural–functional coupling-
dc.titleAberrant brain structural–functional connectivity coupling in euthymic bipolar disorder-
dc.typeArticle-
dc.identifier.emailShao, R: rshao@hku.hk-
dc.identifier.emailSo, K-F: hrmaskf@hku.hk-
dc.identifier.authorityShao, R=rp02519-
dc.identifier.authoritySo, K-F=rp00329-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1002/hbm.24608-
dc.identifier.pmid31282606-
dc.identifier.scopuseid_2-s2.0-85065043056-
dc.identifier.hkuros309481-
dc.identifier.volume40-
dc.identifier.issue12-
dc.identifier.spage3452-
dc.identifier.epage3463-
dc.identifier.isiWOS:000474662500003-
dc.publisher.placeUnited States-
dc.identifier.issnl1065-9471-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats